HexaAI pioneers triadic causal AGI, enabling reversible reasoning across complex, multi-domain challenges.

Deep Causal Intelligence

Predict the future by creating it

Primeira Causal AGI do Mundo.

Triadic Causal Artificial General Intelligence Architecture with Bidirectional Cycles, Static Anchor Node, and Root-Cause Ledger. The pioneer global novel Triadic Causal Artificial General Intelligence (AGI) architecture designed for deep inference under high-complexity, non-linear, multi-domain environments.

Unlike traditional large language models (LLMs) that primarily optimize next-token prediction, HEXAAI implements an explicit Causal Vector Field, a Bidirectional Causal Clock Cycle (Clock6), an Energy-Gated Direction Selector (∆E-Gate), and an immutable Root- Cause Ledger (LCR) to perform reversible causal reasoning at scale. Each inference cycle is governed by the CEE Law (Cause–Energy–Effect), quantum-dissipative CDQ dynamics, entropy modulation, and a Static Anchor Node enforcing 34 safety, ethical and regulatory checks.

We demonstrate that HEXAAI surpasses correlational LLMs by enabling real causal simulation, bidirectional inference, energy-directed reasoning, and traceable decision paths. This architecture establishes foundational infrastructure for next-generation AGI systems in high-stakes domains including finance, healthcare, ESG, logistics, robotics and governance.